A longitudinal analysis of factors associated with reporting violent crimes to the police

The use of generalized estimating equations and time-series methods for fitting longitudinal models in the National Crime Victimization Survey (NCVS) is discussed, with reference to the relation between the reporting of a violent crime to the police and previous victimizations. Two longitudinal mode...
Ausführliche Beschreibung

Gespeichert in:

Autor*in:	Conaway, Mark R. [verfasserIn] Lohr, Sharon L. [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	1994

Schlagwörter:	time-series models generalized estimating equations longitudinal data

Übergeordnetes Werk:	Enthalten in: Journal of quantitative criminology - New York, NY [u.a.] : Springer Science + Business Media B.V., 1985, 10(1994), 1, Seite 23-39
Übergeordnetes Werk:	volume:10 ; year:1994 ; number:1 ; pages:23-39

Links:	Volltext Volltext

DOI / URN:	10.1007/BF02221007

Katalog-ID:	1764278216

Internformat


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allfields	10.1007/BF02221007 doi (DE-627)1764278216 (DE-599)KXP1764278216 DE-627 ger DE-627 rda eng 2,1 ssgn Conaway, Mark R. verfasserin aut A longitudinal analysis of factors associated with reporting violent crimes to the police 1994 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The use of generalized estimating equations and time-series methods for fitting longitudinal models in the National Crime Victimization Survey (NCVS) is discussed, with reference to the relation between the reporting of a violent crime to the police and previous victimizations. Two longitudinal models are fit to NCVS data to predict the likelihood of reporting a violent crime to the police based on characteristics of the victim and the incident and based on previous victimization experiences. In both models, it is found that higher reporting rates are associated with positive results accruing from reporting previous victimization to the police. time-series models generalized estimating equations longitudinal data Lohr, Sharon L. verfasserin aut Enthalten in Journal of quantitative criminology New York, NY [u.a.] : Springer Science + Business Media B.V., 1985 10(1994), 1, Seite 23-39 Online-Ressource (DE-627)320578003 (DE-600)2017241-2 (DE-576)104082321 1573-7799 nnns volume:10 year:1994 number:1 pages:23-39 https://doi.org/10.1007/BF02221007 Resolving-System lizenzpflichtig Volltext http://link.springer.com/openurl/pdf?id=doi:10.1007/BF02221007 Verlag lizenzpflichtig Volltext GBV_USEFLAG_U GBV_ILN_2075 ISIL_DE-2619 SYSFLAG_1 GBV_KXP GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_121 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_184 GBV_ILN_187 GBV_ILN_206 GBV_ILN_224 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_602 GBV_ILN_647 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2043 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2158 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2193 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2808 GBV_ILN_2949 GBV_ILN_2950 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4277 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4346 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 GBV_ILN_4753 mkri AR 10 1994 1 23-39 2075 01 DE-2619 3957451795 00 --%%-- --%%-- --%%-- n l01 25-07-21
spelling	10.1007/BF02221007 doi (DE-627)1764278216 (DE-599)KXP1764278216 DE-627 ger DE-627 rda eng 2,1 ssgn Conaway, Mark R. verfasserin aut A longitudinal analysis of factors associated with reporting violent crimes to the police 1994 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The use of generalized estimating equations and time-series methods for fitting longitudinal models in the National Crime Victimization Survey (NCVS) is discussed, with reference to the relation between the reporting of a violent crime to the police and previous victimizations. Two longitudinal models are fit to NCVS data to predict the likelihood of reporting a violent crime to the police based on characteristics of the victim and the incident and based on previous victimization experiences. In both models, it is found that higher reporting rates are associated with positive results accruing from reporting previous victimization to the police. time-series models generalized estimating equations longitudinal data Lohr, Sharon L. verfasserin aut Enthalten in Journal of quantitative criminology New York, NY [u.a.] : Springer Science + Business Media B.V., 1985 10(1994), 1, Seite 23-39 Online-Ressource (DE-627)320578003 (DE-600)2017241-2 (DE-576)104082321 1573-7799 nnns volume:10 year:1994 number:1 pages:23-39 https://doi.org/10.1007/BF02221007 Resolving-System lizenzpflichtig Volltext http://link.springer.com/openurl/pdf?id=doi:10.1007/BF02221007 Verlag lizenzpflichtig Volltext GBV_USEFLAG_U GBV_ILN_2075 ISIL_DE-2619 SYSFLAG_1 GBV_KXP GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_121 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_184 GBV_ILN_187 GBV_ILN_206 GBV_ILN_224 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_602 GBV_ILN_647 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2043 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2158 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2193 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2808 GBV_ILN_2949 GBV_ILN_2950 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4277 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4346 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 GBV_ILN_4753 mkri AR 10 1994 1 23-39 2075 01 DE-2619 3957451795 00 --%%-- --%%-- --%%-- n l01 25-07-21
allfields_unstemmed	10.1007/BF02221007 doi (DE-627)1764278216 (DE-599)KXP1764278216 DE-627 ger DE-627 rda eng 2,1 ssgn Conaway, Mark R. verfasserin aut A longitudinal analysis of factors associated with reporting violent crimes to the police 1994 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The use of generalized estimating equations and time-series methods for fitting longitudinal models in the National Crime Victimization Survey (NCVS) is discussed, with reference to the relation between the reporting of a violent crime to the police and previous victimizations. Two longitudinal models are fit to NCVS data to predict the likelihood of reporting a violent crime to the police based on characteristics of the victim and the incident and based on previous victimization experiences. In both models, it is found that higher reporting rates are associated with positive results accruing from reporting previous victimization to the police. time-series models generalized estimating equations longitudinal data Lohr, Sharon L. verfasserin aut Enthalten in Journal of quantitative criminology New York, NY [u.a.] : Springer Science + Business Media B.V., 1985 10(1994), 1, Seite 23-39 Online-Ressource (DE-627)320578003 (DE-600)2017241-2 (DE-576)104082321 1573-7799 nnns volume:10 year:1994 number:1 pages:23-39 https://doi.org/10.1007/BF02221007 Resolving-System lizenzpflichtig Volltext http://link.springer.com/openurl/pdf?id=doi:10.1007/BF02221007 Verlag lizenzpflichtig Volltext GBV_USEFLAG_U GBV_ILN_2075 ISIL_DE-2619 SYSFLAG_1 GBV_KXP GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_121 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_184 GBV_ILN_187 GBV_ILN_206 GBV_ILN_224 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_602 GBV_ILN_647 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2043 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2158 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2193 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2808 GBV_ILN_2949 GBV_ILN_2950 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4277 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4346 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 GBV_ILN_4753 mkri AR 10 1994 1 23-39 2075 01 DE-2619 3957451795 00 --%%-- --%%-- --%%-- n l01 25-07-21
allfieldsGer	10.1007/BF02221007 doi (DE-627)1764278216 (DE-599)KXP1764278216 DE-627 ger DE-627 rda eng 2,1 ssgn Conaway, Mark R. verfasserin aut A longitudinal analysis of factors associated with reporting violent crimes to the police 1994 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The use of generalized estimating equations and time-series methods for fitting longitudinal models in the National Crime Victimization Survey (NCVS) is discussed, with reference to the relation between the reporting of a violent crime to the police and previous victimizations. Two longitudinal models are fit to NCVS data to predict the likelihood of reporting a violent crime to the police based on characteristics of the victim and the incident and based on previous victimization experiences. In both models, it is found that higher reporting rates are associated with positive results accruing from reporting previous victimization to the police. time-series models generalized estimating equations longitudinal data Lohr, Sharon L. verfasserin aut Enthalten in Journal of quantitative criminology New York, NY [u.a.] : Springer Science + Business Media B.V., 1985 10(1994), 1, Seite 23-39 Online-Ressource (DE-627)320578003 (DE-600)2017241-2 (DE-576)104082321 1573-7799 nnns volume:10 year:1994 number:1 pages:23-39 https://doi.org/10.1007/BF02221007 Resolving-System lizenzpflichtig Volltext http://link.springer.com/openurl/pdf?id=doi:10.1007/BF02221007 Verlag lizenzpflichtig Volltext GBV_USEFLAG_U GBV_ILN_2075 ISIL_DE-2619 SYSFLAG_1 GBV_KXP GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_121 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_184 GBV_ILN_187 GBV_ILN_206 GBV_ILN_224 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_602 GBV_ILN_647 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2043 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2158 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2193 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2808 GBV_ILN_2949 GBV_ILN_2950 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4277 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4346 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 GBV_ILN_4753 mkri AR 10 1994 1 23-39 2075 01 DE-2619 3957451795 00 --%%-- --%%-- --%%-- n l01 25-07-21
allfieldsSound	10.1007/BF02221007 doi (DE-627)1764278216 (DE-599)KXP1764278216 DE-627 ger DE-627 rda eng 2,1 ssgn Conaway, Mark R. verfasserin aut A longitudinal analysis of factors associated with reporting violent crimes to the police 1994 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier The use of generalized estimating equations and time-series methods for fitting longitudinal models in the National Crime Victimization Survey (NCVS) is discussed, with reference to the relation between the reporting of a violent crime to the police and previous victimizations. Two longitudinal models are fit to NCVS data to predict the likelihood of reporting a violent crime to the police based on characteristics of the victim and the incident and based on previous victimization experiences. In both models, it is found that higher reporting rates are associated with positive results accruing from reporting previous victimization to the police. time-series models generalized estimating equations longitudinal data Lohr, Sharon L. verfasserin aut Enthalten in Journal of quantitative criminology New York, NY [u.a.] : Springer Science + Business Media B.V., 1985 10(1994), 1, Seite 23-39 Online-Ressource (DE-627)320578003 (DE-600)2017241-2 (DE-576)104082321 1573-7799 nnns volume:10 year:1994 number:1 pages:23-39 https://doi.org/10.1007/BF02221007 Resolving-System lizenzpflichtig Volltext http://link.springer.com/openurl/pdf?id=doi:10.1007/BF02221007 Verlag lizenzpflichtig Volltext GBV_USEFLAG_U GBV_ILN_2075 ISIL_DE-2619 SYSFLAG_1 GBV_KXP GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_121 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_184 GBV_ILN_187 GBV_ILN_206 GBV_ILN_224 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_374 GBV_ILN_602 GBV_ILN_647 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2018 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2043 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2158 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2193 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_2808 GBV_ILN_2949 GBV_ILN_2950 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4277 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4346 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 GBV_ILN_4753 mkri AR 10 1994 1 23-39 2075 01 DE-2619 3957451795 00 --%%-- --%%-- --%%-- n l01 25-07-21
language	English
source	Enthalten in Journal of quantitative criminology 10(1994), 1, Seite 23-39 volume:10 year:1994 number:1 pages:23-39
sourceStr	Enthalten in Journal of quantitative criminology 10(1994), 1, Seite 23-39 volume:10 year:1994 number:1 pages:23-39
format_phy_str_mv	Article
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institution	findex.gbv.de
selectbib_iln_str_mv	2075@01
topic_facet	time-series models generalized estimating equations longitudinal data
isfreeaccess_bool	false
container_title	Journal of quantitative criminology
authorswithroles_txt_mv	Conaway, Mark R. @@aut@@ Lohr, Sharon L. @@aut@@
publishDateDaySort_date	1994-01-01T00:00:00Z
hierarchy_top_id	320578003
id	1764278216
language_de	englisch
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author	Conaway, Mark R.
spellingShingle	Conaway, Mark R. ssgn 2,1 misc time-series models misc generalized estimating equations misc longitudinal data A longitudinal analysis of factors associated with reporting violent crimes to the police
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topic_title	2,1 ssgn A longitudinal analysis of factors associated with reporting violent crimes to the police time-series models generalized estimating equations longitudinal data
topic	ssgn 2,1 misc time-series models misc generalized estimating equations misc longitudinal data
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title	A longitudinal analysis of factors associated with reporting violent crimes to the police
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title_full	A longitudinal analysis of factors associated with reporting violent crimes to the police
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title_sort	longitudinal analysis of factors associated with reporting violent crimes to the police
title_auth	A longitudinal analysis of factors associated with reporting violent crimes to the police
abstract	The use of generalized estimating equations and time-series methods for fitting longitudinal models in the National Crime Victimization Survey (NCVS) is discussed, with reference to the relation between the reporting of a violent crime to the police and previous victimizations. Two longitudinal models are fit to NCVS data to predict the likelihood of reporting a violent crime to the police based on characteristics of the victim and the incident and based on previous victimization experiences. In both models, it is found that higher reporting rates are associated with positive results accruing from reporting previous victimization to the police.
abstractGer	The use of generalized estimating equations and time-series methods for fitting longitudinal models in the National Crime Victimization Survey (NCVS) is discussed, with reference to the relation between the reporting of a violent crime to the police and previous victimizations. Two longitudinal models are fit to NCVS data to predict the likelihood of reporting a violent crime to the police based on characteristics of the victim and the incident and based on previous victimization experiences. In both models, it is found that higher reporting rates are associated with positive results accruing from reporting previous victimization to the police.
abstract_unstemmed	The use of generalized estimating equations and time-series methods for fitting longitudinal models in the National Crime Victimization Survey (NCVS) is discussed, with reference to the relation between the reporting of a violent crime to the police and previous victimizations. Two longitudinal models are fit to NCVS data to predict the likelihood of reporting a violent crime to the police based on characteristics of the victim and the incident and based on previous victimization experiences. In both models, it is found that higher reporting rates are associated with positive results accruing from reporting previous victimization to the police.
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container_issue	1
title_short	A longitudinal analysis of factors associated with reporting violent crimes to the police
url	https://doi.org/10.1007/BF02221007 http://link.springer.com/openurl/pdf?id=doi:10.1007/BF02221007
ausleihindikator_str_mv	2075:-
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author2	Lohr, Sharon L.
author2Str	Lohr, Sharon L.
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doi_str	10.1007/BF02221007
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up_date	2024-07-04T11:56:15.197Z
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A longitudinal analysis of factors associated with reporting violent crimes to the police

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